Which aspect of data management deals specifically with data quality and governance?

Data stewardship is crucial for ensuring data quality and governance within organizations. It involves the management and oversight of data assets to guarantee that data is accurate, consistent, secure, and used responsibly. Data stewards typically establish policies and procedures for data usage, ensure compliance with regulations, and facilitate the proper handling of data throughout its lifecycle.

This role is essential for maintaining the integrity of data across various systems and for addressing any issues related to data quality. Data stewards also work to improve data governance by defining data ownership and responsibilities, promoting best practices, and ensuring that data quality standards are met. In doing so, they help organizations maximize the value of their data assets while minimizing risks associated with poor data quality.

The other aspects mentioned do not focus specifically on data quality and governance in the same way; while data architecture refers to the structure and organization of data systems, and data lifecycle management involves the stages of data from creation to deletion, they do not inherently address the governance and quality aspects to the same degree as data stewardship does.